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基于背景补偿的跟人AGV系统人物检测研究
引用本文:周凯,赵林度.基于背景补偿的跟人AGV系统人物检测研究[J].物流技术,2011(13):143-145.
作者姓名:周凯  赵林度
作者单位:东南大学经济管理学院;
摘    要:提出一种基于背景补偿的动态目标检测方法来解决跟人AGV的物流运输系统中的人物检测问题。为减少目标检测所花费的时间,在不影响图像细节的情况下,首先缩小图像,检测SIFT特征点并进行特征点之间的匹配;其次,用随机一致性算法(RANSAC)去除运动目标的特征点匹配与两幅图像的特征点误配,从而构建仿射模型进行背景补偿;最后,运用图像的差分并对差分后的图像进行形态学运算从而检测出运动区域,并在原始图像中标记。

关 键 词:跟人AGV  背景补偿  人物检测

Study on Person Detection in People-Following AGV System Based on Background Compensation
ZHOU Kai,ZHAO Lin-du.Study on Person Detection in People-Following AGV System Based on Background Compensation[J].Logistics Technology,2011(13):143-145.
Authors:ZHOU Kai  ZHAO Lin-du
Institution:ZHOU Kai,ZHAO Lin-du(School of Economics & Management,Southeast University,Nanjing 210096,China)
Abstract:The proposes a new method of target detection based on background compensation to solve the problem of person detection in a people-following AGV system.Firstly,SIFT(Scale Invariant Feature Transform) algorithm is used to match features between two images compressed through bilinear interpolation.Secondly,for a more accurate calculation of parameters of affine transform model and compensation of the motion background,RANSAC algorithm is used to remove the outliers from the inliers.Thirdly,drawing on the ide...
Keywords:AGV  people-following AGV  background compensation  person detection  
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